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Cheef's Grand APDU List Smartcard Selected Information APDU list
Reference: http://web.archive.org/web/20090630004017/http://cheef.ru/docs/HowTo/APDU.info
#------------+------------------------+------------------------+----------------------+--------------------------------+
|ClaIns P1 P2|Lc Send Data |Le Recv Data | Specification | Description |
+------------+------------------------+------------------------+----------------------+--------------------------------+
| 04 | ISO 7816-9 6.3 | DEACTIVATE FILE |
| A0 04 00 00 00 | 3GPP TS 11.11 | INVALIDATE |
| A0 04 00 00 00 | SAGEM SCT U34 6.15 | INVALIDATE |
+------------+------------------------+------------------------+----------------------+--------------------------------+
@befinitiv
befinitiv / cam.py
Created September 21, 2021 13:19
Super 8 camera code
#!/usr/bin/python
import glob
import socket
import time
from threading import Timer
import picamera
import RPi.GPIO as GPIO
@Aldaviva
Aldaviva / Windows 10 & 11 services.md
Last active July 29, 2026 21:16
Safety of disabling services in Windows 10 and 11

These settings apply to normal, functioning Windows 10 and 11 Pro desktops and laptops with

  • wired Ethernet
  • Wi-Fi
  • Bluetooth
  • IPv4
  • IPv6
  • no touch screen

Safe to disable

@jamct
jamct / Readme.md
Created June 30, 2026 11:39
LLM-Server mit Open WebUI mit Ollama

Einrichtung eines Servers mit Nvidia-Hardware als LLM-Server

Treiber und Voraussetzungen

Für Ubuntu 24.04:

sudo apt update
sudo apt upgrade
sudo apt install nvidia-utils-580 nvidia-driver-580
@aamiaa
aamiaa / CompleteDiscordQuest.md
Last active July 29, 2026 21:06
Complete Recent Discord Quest

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

image

There isn't much I can do to make the script undetected, so use it at your own risk, as you most likely WILL get flagged by doing so.

Complete Recent Discord Quest

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp
@Geoff-Ford
Geoff-Ford / composing-software.md
Last active July 29, 2026 21:00
Eric Elliott's Composing Software Series

Eric Elliott's "Composing Software" Series

A collection of links to the excellent "Composing Software" series of medium stories by Eric Elliott.

Edit: I see that each post in the series now has index, previous and next links. However, they don't follow a linear flow through all the articles with some pointing back to previous posts effectively locking you in a loop.

@devinschumacher
devinschumacher / 1_cta.md
Last active July 29, 2026 21:01
Thinkific Video Downloader Browser Extension